Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/lantisprime/claude-sdlcnpx agentmods add skills/lantisprime/claude-sdlc/deployWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lantisprime/claude-sdlc/deploy)<a href="https://agentmods.dev/skills/lantisprime/claude-sdlc/deploy"><img src="https://agentmods.dev/badge/skills/lantisprime/claude-sdlc/deploy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lantisprime/claude-sdlc/deploy"><img src="https://agentmods.dev/badge/skills/lantisprime/claude-sdlc/deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.00773 |
| Opus 5.5 | $0.00036 | $0.00309 |
| Sonnet 5.5 | $0.00018 | $0.00155 |
| Haiku 4.5 | $0.00009 | $0.00077 |
Grade A, and why
deploy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy (Phase 6)
Release code that has passed Test — under explicit human approval.
Prerequisite
.claude/sdlc/gates/test-<task-slug>.md must exist and be signed. Without it, this skill refuses to run.
Step 1 — Propose the deployment
Produce a deployment proposal, not a deployment. Include:
- Target environment (dev / staging / production)
- Commit SHA / tag / image reference
- Changed files and services
- DB migrations? (yes/no, reversible?)
- Feature flags? (default state)
- Rollback plan
- Blast radius (users/services affected)
- Deployment window / maintenance window if applicable
Step 2 — Human approval gate
This is non-negotiable. Deployments never auto-execute. Ask the human to confirm the proposal. Record the approval at .claude/sdlc/gates/deploy-<task-slug>.md with timestamp and approver.
Step 3 — Execute (under human supervision)
Execute the deployment via the configured pipeline/runbook. Stream output. Halt on the first error and ask for direction — do not retry automatically.
Step 4 — Record
Update the ticket(s) with:
- Commit SHA, environment, timestamp, approver
- Link to pipeline run / deployment log
- Post-deploy verification results (smoke tests)
Detection:
- GitHub/GitLab Issues via
.claude/sdlc/env.json→ comment on the issue - Jira/Linear via MCP → transition to "Deployed" (or equivalent) with a comment
- None configured → write
.claude/sdlc/deployments/<YYYY-MM-DD>-<task-slug>.md(or.jsonif configured)
Step 5 — Post-deploy verification
Run the smoke-test subset of the test suite against the deployed environment. If any fail:
- Execute the rollback from Step 1
- Log a defect (see
testskill) - Do not mark the deployment complete
What this skill must NEVER do
- Auto-execute a deployment.
- Skip the rollback plan.
- Close a ticket before post-deploy verification passes.
- Deploy code that does not have a signed test gate.
References
templates/deployment.mdtemplates/gate.mddocs/SDLC.mdDeploy
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 87 lines · 91 tokens per session scan A db7a89ff63cc
deploy is a skill published in the GitHub repository lantisprime/claude-sdlc (3 stars, last pushed 6mo ago), licensed MIT. It adds 91 tokens to every session and 773 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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